GOAT.AI
2 models across 1 family · Latest: GOAT 70B Storytelling (2024-01)
Innovative goat breeding through artificial insemination
GOAT.AI's portfolio covers 2 active models across 1 current family, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 0 workload areas across 2 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating general LLM work across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 2 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
2
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
2 open
2 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2024-01-09
GOAT 70B Storytelling
Freshness
2026-05-19
Researched 60d ago
Information
Release cadence
Showing 2 recent dated releases (full timeline below). Latest: GOAT 70B Storytelling (2024-01-09).
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
Flagship: GOAT 70B Storytelling (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
GOAT.AI is an American AI research organization founded in 2021. Innovative goat breeding through artificial insemination. GOAT.AI ships 1 model family totaling 2 models, with the most recent release GOAT 70B Storytelling in 2024-01. Notable families include GOAT. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan. View official API endpoints, benchmark performance, and coding/agent fit for every GOAT.AI model.
About
GOAT.AI, founded in 2021 and based in San Francisco, California, has carved out a niche in the rapidly evolving field of generative AI and large language models (LLMs). Postured as both a product company and a research lab, they are dedicated to tackling pivotal challenges inherent in LLMs. Central to their mission is the seamless transfer of knowledge and expertise from human cognition to artificial intelligence, with the overarching goal of enabling humanity to economically benefit from AI innovations. Despite their relatively small team of 11 to 50 employees, GOAT.AI has made noteworthy strides in securing investment, with funding rounds that include a $500,000 seed round in February 2023, backed by investors like Murat Abdrakhmanov and 500 Global, and previous financial support from MOST Ventures. GOAT.AI uniquely directs its research toward resolving intrinsic LLM issues such as hallucinations, mode collapse, and constraints in context length. Their innovative approaches to machine learning and computer vision aim to enhance the functionality and dependability of LLMs. While detailed expositions of their proprietary algorithms are not openly available, GOAT.AI’s activities underscore an avant-garde angle in advancing the field, promising improvements in the reliability and efficiency of generative AI systems. The company's website highlights its technology's practical application in crafting AI-driven solutions across multiple domains. Their products include tools for analyzing e-commerce customer data, generating social media content, creating sustainable energy plans, and evaluating workplace stress. These offerings signal a commitment to applying LLM research outcomes to solve real-world challenges, reinforcing their focus on practical problem-solving through AI. However, the details regarding the integration of their proprietary LLM innovations into these products remain sparse, leaving a curiosity in the field about the exact technological advancements they have achieved. Though still in its early stages, GOAT.AI stands out as a promising entity in the realm of generative AI. It continues to lay the groundwork for advancements in LLMs, seeking to bridge the gap between cutting-edge AI research and tangible applications that can transform industries. Further elucidation of their technology would provide a fuller picture of their contributions to the field, which remains an area of great interest to stakeholders and observers alike.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| GOAT 70B Storytelling | 2024-01-09 | 4k | - | - | Apache 2.0 | Open source |
| GOAT 7B Community | 2024-01-09 | 4k | - | - | Apache 2.0 | Open source |
Model families
Recent releases
- GOAT 70B Storytelling- 2024-01-09
- GOAT 7B Community- 2024-01-09
FAQ
Who founded GOAT.AI and when?
GOAT.AI was founded in 2021 and is associated with San Francisco, California, United States.
What models has GOAT.AI released?
GOAT.AI ships 2 models across 1 family: GOAT.
Is GOAT.AI's technology open source?
All tracked models are released under Open Source.
Where is GOAT.AI headquartered?
GOAT.AI is headquartered in San Francisco, California, United States.
What is GOAT.AI known for?
Innovative goat breeding through artificial insemination. Its most prominent tracked family is GOAT.
How can I access GOAT.AI's models?
GOAT.AI's provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.